Modelling of magnetizing inductance saturation in self-excited induction generators

Abdlrahman Alfarhan, Shady M. Gadoue, Bashar Zahawi, Mohammed Shalaby, Mohammed A. Elgendy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Self-excited induction generators (SEIG) are used in small scale generation systems such as small wind turbines and micro-hydro schemes where a grid connection is not available. In such applications, there is a strong need to model the generator as accurately as possible in order to obtain a realistic estimation of the machine behaviour and dynamics. In this paper, a generalized dynamic model of a three-phase self-excited induction generator (SEIG) in the natural abc reference frame is presented. The developed model accounts for the significant effects of magnetic saturation by expressing the magnetizing inductance as an exponential function of the magnetizing current considering both the value of the inductance and its rate of change with the magnetizing current (dLm/dim). The model is used to investigate the SEIG steady-state and transient behaviours at balanced, unbalanced and fault conditions.

Original languageEnglish
Title of host publicationEEEIC 2016 - International Conference on Environment and Electrical Engineering
PublisherIEEE
ISBN (Electronic)9781509023196, 978-1-5090-2320-2
ISBN (Print)978-1-5090-2321-9
DOIs
Publication statusPublished - 29 Aug 2016
Event16th International Conference on Environment and Electrical Engineering, EEEIC 2016 - Florence, Italy
Duration: 7 Jun 201610 Jun 2016

Conference

Conference16th International Conference on Environment and Electrical Engineering, EEEIC 2016
CountryItaly
CityFlorence
Period7/06/1610/06/16

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Keywords

  • Induction generator
  • magnetizing inductance
  • modelling
  • saturation

Cite this

Alfarhan, A., Gadoue, S. M., Zahawi, B., Shalaby, M., & Elgendy, M. A. (2016). Modelling of magnetizing inductance saturation in self-excited induction generators. In EEEIC 2016 - International Conference on Environment and Electrical Engineering [7555817] IEEE. https://doi.org/10.1109/EEEIC.2016.7555817